78 Model Monitoring Jobs - Page 4

3 days from Office Hyderabad Python + SQL - MUST Job Expectations: This profile is a AML model data analyst profile who understands database and data quality more than AI/ML or reporting hence reporting profiles are not preferred Reporting specialists/ Business Analysts, functional analysts, financial crimes or banking operations analyst performing L1/L2/L3 maker/checker activities or alert disposition, KYC /CDD/EDD due diligence/ Fraud /Negative news alert investigators NEED NOT apply Role & responsibilities Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency 2+ years of experience with BSA/AML/OFAC laws and regulations. Prior Experience enhancing AML Monitoring Models and Systems. Acquaintance with financial crimes /regulatory/fraud data Demonstrated experience supporting BSA/AML and sanctions monitoring systems for global multi-channeled financial institution UAT/regression testing experience on data outputs involving complex data mapping designs. Proficient in SAS Or Python is essential, as these tools are critical for automating repeatable analytical processes. While advanced proficiency is not mandatory, a beginner to intermediate level is acceptable, with an expectation to upskill on the job. Strong foundation in statistical modeling, machine learning algorithm Experience in conducting data quality analysis to support modelling Preferred candidate profile

Design, develop, and implement AI and Generative AI solutions to address business problems and achieve objectives.Gather, clean, and prepare large datasets to ensure readiness for AI model training.Train, fine-tune, evaluate, and optimise AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive more intelligent workflows and improved productivity.Develop reusable tools, libraries, and components that standardise and accelerate the development of AI solutions across the organisation.Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments.Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities.Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders.Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment.Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs.Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components.Participate in software design reviews, code reviews and project planning.Write and review documentation and technical blog posts.Contribute to the department's attainment of organisational objectives and high customer satisfaction. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 8 to 12 years of strong software development work experience with : Excellent C++ OR GO Lang programming skills. Hands-on with MySQL or any other relational Data Base Experience with Linux / Cent OS / RHEL Experience with Python programming skills. 6+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Solid understanding of ML/AI conceptsEDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain, Langraph,CrewAI, Experience in LLM application development based on the Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerised environments (Docker, OpenShift, k8s) Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Exposure to MLOPs frameworks and LLMOPs Understanding of security and ethical best practices for data and model development Exposure to the use of open-source software. Exposure and understanding of Cloud systems like AWS, Azure & GCP. Exposure to Terraform Enterprise networking background.

ABOUT THE TEAM The AI Platform Engineering team at ABC builds scalable, high-performance AI systems that power next-generation fitness technology. We specialize in retrieval-augmented generation (RAG) architectures and fine-tuning methodologies to deliver context-aware, cost-efficient AI solutions. As our Machine Learning Engineer, you will be responsible for all retrieval and intelligence behind the LLM, delivering performant, low-cost, high-context AI features. At ABC, we love entrepreneurs because we are entrepreneurs. We roll our sleeves up, we act fast, and we learn together. WHAT YOULL DO Handle embeddings and chunking strategies to optimize document and data retrieval for GenAI-powered features. Manage vector stores and retrieval workflows using leading vector databases (Pinecone, FAISS, Weaviate, Azure AI Search) to ensure efficient, scalable access to unstructured and structured data. Fine-tune small and large language models using frameworks such as HuggingFace and OpenAI APIs, tailoring models to domain-specific requirements and improving performance on targeted tasks. Optimize cost and reduce latency by implementing best practices for token management, model evaluation, and cloud resource utilization. Collaborate with engineering, product, and data teams to integrate RAG pipelines into production systems, ensuring reliability, scalability, and security. Stay up-to-date with the latest advancements in retrieval-augmented generation, vector search, and LLM fine-tuning, applying new techniques to improve system performance and user experience. WHAT YOULL NEED 4-7 years of experience in machine learning or AI engineering, with a proven track record in RAG, vector search, and LLM fine-tuning. Deep expertise with vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search, including experience designing retrieval workflows and managing embeddings. Familiarity with HuggingFace and OpenAI fine-tuning APIs, and strong understanding of chunking strategies for optimizing retrieval. Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure). Understanding of token management, evaluation tuning, and cost optimization for large-scale AI deployments. Strong problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders. AND ITS GREAT TO HAVE Experience with NLP, NLU, and NLG techniques for conversational AI or information retrieval. Exposure to ML Ops tools for model monitoring, evaluation, and deployment (ML flow, Weights & Biases). Experience with model compression, quantization, or other efficiency techniques. Certifications in AWS Machine Learning Specialty or Microsoft AI Engineer. WHATS IN IT FOR YOU: Purpose led company with a Values focused culture Best Life, One Team, Growth Mindset Time Off competitive PTO plans with 15 Earned accrued leave, 12 days Sick leave, and 12 days Casual leave per year 11 Holidays plus 4 Days of Disconnect once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam Group Mediclaim insurance coverage of INR 500,000 for employee + spouse, 2 kids, and parents or parent-in-laws, and including EAP counseling Life Insurance and Personal Accident Insurance Best Life Perk we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement Premium Calm App enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16 Support for working women with financial aid towards crche facility, ensuring a safe and nurturing environment for their little ones while they focus on their careers.